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ARTICLE

Ouagadougou SUMO traffic scenarios for urban mobility.

  • 2025 IEEE International Conference on Contemporary Computing and Communications (InC4) : 200-210
Discipline : Informatique et sciences de l'information
Auteur(s) :
Renseignée par : GUINKO Tonguim Ferdinand

Résumé

In our work, we are attempting to predict urban traffic congestion in order to address issues related to urban mobility. We believe that congestion situations have upstream causes that significantly impact urban traffic flow. Thus, to resolve the problem of traffic congestion, there are intermediate steps that allow us to understand the traffic process. First, it is crucial to fully comprehend the impact that traffic light duration has on road traffic. Secondly, we consider it equally important to understand the effect that road infrastructure design has on traffic congestion. For instance, on a given road, objects such as traffic signs, parking arrangements, and lane structures influence traffic flow. Finally, we examine the impact of meteorological factors on traffic congestion. The meteorological factors considered in our analysis include rain, wind, and visibility.

Mots-clés

urban traffic simulation , road traffic prediction , road traffic engineering , SUMO , ontology , road traffic planning

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